> ## Documentation Index > Fetch the complete documentation index at: https://docs.getoneprofile.ai/llms.txt > Use this file to discover all available pages before exploring further. # Suggest a revised agent prompt from a natural-language change, streaming the work > The streaming form of the revision: the same full revised prompt and one-sentence summary, sent as Server-Sent Events. The first frame is `turn`, carrying the `edit_id` a Stop is sent to; then a `step` frame for each thing the assistant actually did (`rewrite_prompt` for the model call, `finish` with the line counts), each with its measured duration; then one `result` frame with the revision as the plain route returns it. Failures arrive as an `error` frame, because the stream has already answered 200: reason `limit` or `paused` when the workspace's daily AI Assistant allowance refused the revision, `stopped` when the caller stopped it, and no reason for anything else. Counts against the allowance; a stopped or failed revision gives its turn back. Closing the connection does not stop the revision; the Stop route does. Requires a signed-in person; the plain route serves API keys. ## OpenAPI ````yaml /openapi.json post /table-enrichments/saved-agents/prompt/suggestions/stream/ openapi: 3.1.0 info: contact: email: support@getoneprofile.ai name: Oneprofile Support description: >- REST API reference for Oneprofile, the GTM data layer for your CRM. Manage tables, enrichments, and integrations. Authenticate with an API key to get started. termsOfService: https://www.getoneprofile.ai/terms title: API Reference | Oneprofile version: '0.0' servers: - url: https://api.getoneprofile.ai security: [] tags: - description: >- The docked AI Assistant: its general chat about the workspace and the product, streamed as Server-Sent Events, and the one list of a person's threads across every assistant, with pin, rename, delete and the search-to-table link. name: assistant - description: >- The messages a person keeps to send the assistant again: the ones the workspace saved and the ones that ship with the product, with save, rename, edit and delete. name: assistant-prompt - description: >- Granted workspace actions: what the AI Assistant proposed or applied in a conversation, the approve and dismiss decisions on each card, the workspace's spend threshold and default grants, and the eight verbs. name: workspace-actions - description: >- The Getting started checklist: a workspace's progress through the six steps from its first people search to its first launched sequence. name: onboarding - description: Senders, connected mailboxes, tags, and the Google connect flow. name: senders - description: The workspace do-not-contact list, enforced before every send. name: suppression - description: >- The workspace's recontact rule: how long before anyone hears from us again. name: contact_cooldown - description: 'Sequence authoring: the graph, the table-backed audience, previews.' name: sequences - description: >- The outbound agent behind a sequence: the voice it writes in, its per-message prompts, what it wrote and what people told it. name: outbound-agents - description: >- The LinkedIn channel: connecting an account to a sender, its safety limits and history, and the protocol the browser extension speaks. name: linkedin - description: >- The approval queue: everything waiting on a person across every sender and channel, and the workspace's manual or automatic modes per channel. name: outreach - description: 'The unified outreach inbox: threads, replies, labels, events.' name: inbox - description: 'The AI reply layer: workspace settings, drafts, and approval.' name: inbox-ai - description: Notification rules, per-user preferences, and the Slack connection. name: notifications - description: Endpoints for seeing all available integration types. name: integration-types - description: Endpoints for creating and managing integrations. name: integrations - description: Endpoints for the generic OAuth install/claim app-listings engine. name: app-listings - description: Endpoints for creating and managing API keys. name: apikey - description: >- AI apps connected to the workspace: Claude, ChatGPT, Claude Code or any other MCP client a person signed in to Oneprofile's MCP server with. name: ai_apps - description: Endpoints for managing billing and subscription information. name: billing - description: Endpoints for creating and managing tables. name: tables - description: Endpoints for table columns, formula previews, and on-demand column runs. name: table-columns - description: Endpoints for table rows and manual cell edits. name: table-rows - description: Endpoints for observing and cancelling table recompute runs. name: table-runs - description: >- Endpoints for org-shared per-column display preferences: hidden, pinned, width, and colour tint. name: table-ui-prefs - description: >- Endpoints for the org-shared names given to the column tint palette: what this organisation calls each colour. Org-level, not per-table. name: table-column-color-labels - description: >- Endpoints for the enrichment action catalog, model list, presets, draft generation, and saved agents. name: table-enrichments - description: >- Endpoints for an agent's Preview: example rows run one at a time, and a Looks good on each. Needs work lives under agent-learnings. name: agent-training - description: >- An agent's learnings, the one-line rules it follows on every output, and the thumbs down that teaches them: give one with what was wrong, list the ones on a subject, Undo one, and price the redo it would run. name: agent-learnings - description: >- The durable audit trail of a table's enrichment actions: configured, edited, run, cancelled, and settled cost. name: table-enrichment-audit-logs - description: Endpoints for saving and applying column templates. name: table-templates - description: Server-sent change feed for a table's grid. name: table-events - description: 'Endpoints for org-shared saved table views: sort, filters, hidden columns.' name: table-views - description: >- Endpoints for PER-USER table preferences: favourites and recently opened. Unlike the rest of the table surface these are personal, so two members of one organisation legitimately see different answers. name: table-user-prefs - description: >- Endpoints for building a table from an uploaded CSV: upload and preview the inferred columns, commit the reviewed mapping, then poll the row load. name: table-imports - description: Endpoint for downloading a table's rows as CSV. name: table-export - description: >- Endpoints for the integration a table imports from: attach and preview it, promote imported fields into columns, and run the import on demand. name: table-sources - description: >- Endpoints for a table's recurring import cadence: set it, pause it, and read the next fire times. name: table-schedules - description: >- Endpoints for pushing a table's rows out to a connected integration: list writable destinations, derive their write capabilities, and map export columns. name: table-writeback - description: >- Endpoints backing a lookup column's setup: the connections whose records a column could read, and the identity fields one record type can be looked up by. name: table-integration-lookup - description: >- Endpoints for sourcing leads from the lead database: count and preview matches, land them in a table, and keep saved searches. Alongside people and company searches, leads can be sourced from buying signals (what a company or person just did), with a catalogue endpoint behind the picker that builds them. name: find-leads - description: >- Endpoints for discovering a domain's subdomains from public certificate logs and landing the results in a table. name: find-subdomains - description: Endpoints for the credit balance meter and usage reporting. name: credits - description: >- Endpoints for the workspace referral program: the shareable link, the friends who joined through it, and claiming a code after signup. name: referral - description: >- Endpoints for the affiliate program's own dashboard: enrolling and claiming a code, the summary, stats and activity feed, the commission ledger, and identity verification and payouts. name: affiliate - description: >- Endpoints for recording where a new workspace came from: the marketing page or campaign its signup link carried, sent once after signup. name: attribution - description: >- Endpoints for the design partner program's customer surface: whether this workspace is a design partner, the badges its feedback has earned, and sending and reading that feedback. name: design-partner - description: >- Endpoints for the org-level AI business context (company description, ideal customer profile, buyer personas, interest signals and social proof), plus domain-based generation and the reference documents whose summaries ride alongside those fields. name: ai-context - description: >- Endpoints for the signed-in user's Google Drive connection: starting and finishing the OAuth grant, checking or dropping it, and minting the short-lived token the Google Picker needs. name: google-drive paths: /table-enrichments/saved-agents/prompt/suggestions/stream/: post: tags: - table-enrichments summary: >- Suggest a revised agent prompt from a natural-language change, streaming the work description: >- The streaming form of the revision: the same full revised prompt and one-sentence summary, sent as Server-Sent Events. The first frame is `turn`, carrying the `edit_id` a Stop is sent to; then a `step` frame for each thing the assistant actually did (`rewrite_prompt` for the model call, `finish` with the line counts), each with its measured duration; then one `result` frame with the revision as the plain route returns it. Failures arrive as an `error` frame, because the stream has already answered 200: reason `limit` or `paused` when the workspace's daily AI Assistant allowance refused the revision, `stopped` when the caller stopped it, and no reason for anything else. Counts against the allowance; a stopped or failed revision gives its turn back. Closing the connection does not stop the revision; the Stop route does. Requires a signed-in person; the plain route serves API keys. operationId: stream_edit_saved_agent_prompt requestBody: content: application/json: schema: $ref: '#/components/schemas/SavedAgentPromptEditRequestSchema' required: true responses: '200': content: text/event-stream: schema: $ref: '#/components/schemas/SavedAgentPromptEditResponseSchema' type: string description: >- A stream of Server-Sent Events; the final `result` frame's `data` is the revised prompt. '401': content: text/event-stream: schema: $ref: '#/components/schemas/UnauthorizedResponse' description: Unauthorized '403': content: text/event-stream: schema: $ref: '#/components/schemas/ForbiddenResponse' description: Forbidden '422': content: text/event-stream: schema: $ref: '#/components/schemas/UnprocessableEntityResponse' description: Invalid request made to the API. '500': content: text/event-stream: schema: $ref: '#/components/schemas/ServerErrorResponse' description: Internal server error. '502': content: text/event-stream: schema: $ref: '#/components/schemas/ServerErrorResponse' description: Bad gateway error. '503': content: text/event-stream: schema: $ref: '#/components/schemas/ServerErrorResponse' description: Service unavailable. security: - HTTPBearer: [] components: schemas: SavedAgentPromptEditRequestSchema: description: A natural-language change to make to an existing agent prompt. properties: current_prompt: $ref: '#/components/schemas/AgentPromptTemplate-Input' inputs: items: $ref: '#/components/schemas/AgentInputSchema' maxItems: 20 title: Inputs type: array instruction: maxLength: 4000 minLength: 1 title: Instruction type: string required: - current_prompt - instruction title: SavedAgentPromptEditRequestSchema type: object SavedAgentPromptEditResponseSchema: description: The revised prompt and a one-line account of what changed. properties: inputs: description: The declared inputs after the edit; a revision may mint one. items: $ref: '#/components/schemas/AgentInputSchema' title: Inputs type: array prompt: $ref: '#/components/schemas/AgentPromptTemplate-Output' summary: title: Summary type: string required: - prompt - inputs - summary title: SavedAgentPromptEditResponseSchema type: object UnauthorizedResponse: properties: detail: description: The detail of why the request is unauthorized. title: Detail type: string required: - detail title: UnauthorizedResponse type: object ForbiddenResponse: properties: detail: description: The detail of why the request is forbidden. title: Detail type: string required: - detail title: ForbiddenResponse type: object UnprocessableEntityResponse: properties: detail: description: >- The detail of the error. This is the error message to show to the user. You should also use the issues field to show more detailed error messages per field. Use this field for a single liner error message. title: Detail type: string issues: description: >- The issues that caused the error. There can be multiple issues. Each issue is a user-facing error message. items: $ref: '#/components/schemas/UnprocessableEntityIssue' title: Issues type: array required: - detail - issues title: UnprocessableEntityResponse type: object ServerErrorResponse: properties: detail: description: The detail of why the server returned an error. title: Detail type: string required: - detail title: ServerErrorResponse type: object AgentPromptTemplate-Input: description: |- A saved agent's prompt: literal text with references between the runs. The same convention every other stored prompt in the product uses (``EnrichmentPromptTemplate`` for columns, template segments for sequences): identity-keyed segments, so renaming what a reference points at never rewrites the prompt. Structurally parallel to the enrichment template rather than importing it: an agent prompt references INPUTS, an enrichment prompt references COLUMNS, and the import hierarchy keeps the two domains apart. properties: segments: items: discriminator: mapping: context_ref: '#/components/schemas/AgentPromptContextRefSegment' input_ref: '#/components/schemas/AgentPromptInputRefSegment' text: '#/components/schemas/AgentPromptTextSegment' propertyName: type oneOf: - $ref: '#/components/schemas/AgentPromptTextSegment' - $ref: '#/components/schemas/AgentPromptInputRefSegment' - $ref: '#/components/schemas/AgentPromptContextRefSegment' maxItems: 200 title: Segments type: array title: AgentPromptTemplate type: object AgentInputSchema: description: |- One named input a saved agent declares. The id is client-minted at declaration time (the editor must be able to reference a fresh input before the first save) and is the identity the prompt's ``input_ref`` segments and a deployment's mapping key on. properties: id: format: uuid title: Id type: string name: maxLength: 100 minLength: 1 title: Name type: string required: - id - name title: AgentInputSchema type: object AgentPromptTemplate-Output: description: |- A saved agent's prompt: literal text with references between the runs. The same convention every other stored prompt in the product uses (``EnrichmentPromptTemplate`` for columns, template segments for sequences): identity-keyed segments, so renaming what a reference points at never rewrites the prompt. Structurally parallel to the enrichment template rather than importing it: an agent prompt references INPUTS, an enrichment prompt references COLUMNS, and the import hierarchy keeps the two domains apart. properties: segments: items: discriminator: mapping: context_ref: '#/components/schemas/AgentPromptContextRefSegment' input_ref: '#/components/schemas/AgentPromptInputRefSegment' text: '#/components/schemas/AgentPromptTextSegment' propertyName: type oneOf: - $ref: '#/components/schemas/AgentPromptTextSegment' - $ref: '#/components/schemas/AgentPromptInputRefSegment' - $ref: '#/components/schemas/AgentPromptContextRefSegment' maxItems: 200 title: Segments type: array title: AgentPromptTemplate type: object UnprocessableEntityIssue: properties: input: anyOf: - type: string - type: integer - type: number - type: boolean - items: {} type: array - additionalProperties: true type: object description: The user's input that caused the error. title: Input loc: description: >- The location of the error. Always contains 1 or 2 elements. The first element is the type of location (e.g. 'body', 'query', 'path', 'header'). The second element is the name of the field that caused the error. If the error is not related to a specific field, the second element is not present. items: type: string title: Loc type: array msg: description: The message of the error. The error message to show to the user. title: Msg type: string type: description: >- The type of the error. Useful for frontend code to handle different types of errors. title: Type type: string required: - loc - msg - type - input title: UnprocessableEntityIssue type: object AgentPromptContextRefSegment: description: A reference to the org's business context, resolved per org. properties: section: $ref: '#/components/schemas/AgentContextSection' default: all type: const: context_ref default: context_ref title: Type type: string title: AgentPromptContextRefSegment type: object AgentPromptInputRefSegment: description: A reference to one declared input, resolved per row at run time. properties: input_id: format: uuid title: Input Id type: string type: const: input_ref default: input_ref title: Type type: string required: - input_id title: AgentPromptInputRefSegment type: object AgentPromptTextSegment: description: A literal run of prompt text. properties: text: maxLength: 20000 title: Text type: string type: const: text default: text title: Type type: string required: - text title: AgentPromptTextSegment type: object AgentContextSection: description: |- One section of the org's AI business context a prompt can reference. ``ALL`` is the whole context document; the rest are its named sections. enum: - all - company - icp - personas - signals - social_proof title: AgentContextSection type: string securitySchemes: HTTPBearer: scheme: bearer type: http ```` This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.